Sticky. Sticky stuff.
Sticky. Sticky stuff.
Good read. A few bangers.
Good read. A few bangers.
Swap arxiv → quickarxiv on any paper URL to get an instant blog with figures, insights, and explanations.
Swap arxiv → quickarxiv on any paper URL to get an instant blog with figures, insights, and explanations.
Colleague is a Turniptologist
Student: Where’s that idea in the textbook?
Colleague: This is from one of my own articles
S [angrily]: You mean you’re just MAKING IT UP?!
C: Do you think textbooks are dug up out of the ground like turnips or something?
Colleague is a Turniptologist
causalscience.org
#CDSM25
causalscience.org
#CDSM25
www.causalscience.org
www.causalscience.org
After having been spoiled all day by the best intermission music in science (feat @p-hunermund.com at #CDSM25), I’m somewhat assaulted by the light Canadian hotel jazz for the pre-show.
After having been spoiled all day by the best intermission music in science (feat @p-hunermund.com at #CDSM25), I’m somewhat assaulted by the light Canadian hotel jazz for the pre-show.
Main Link | Techmeme Permalink
Main Link | Techmeme Permalink
arxiv.org/abs/2510.19976
"Morphological computational capacity of Physarum polycephalum"
Suyash Bajpai, Aviva Lucas-DeMott, @msahsorin.bsky.social, Philip Kurian
arxiv.org/abs/2510.19976
"Morphological computational capacity of Physarum polycephalum"
Suyash Bajpai, Aviva Lucas-DeMott, @msahsorin.bsky.social, Philip Kurian
arxiv.org/abs/2510.19976
"Morphological computational capacity of Physarum polycephalum"
Suyash Bajpai, Aviva Lucas-DeMott, @msahsorin.bsky.social, Philip Kurian
I don’t know how I’d recommend the sequence. Probably do The North-West Is Our Mother first, as it’ll make the Métis references in Northern Ontario gel a bit maybe.
I don’t know how I’d recommend the sequence. Probably do The North-West Is Our Mother first, as it’ll make the Métis references in Northern Ontario gel a bit maybe.
At the end of the forward pass, the model produces a last hidden state, which is a vector. Cosine similarity measures how parallel that vector is to all the token embeddings. Each token gets a score called a logit based on this.
At the end of the forward pass, the model produces a last hidden state, which is a vector. Cosine similarity measures how parallel that vector is to all the token embeddings. Each token gets a score called a logit based on this.
Friends, you know who you are, thank you!
Friends, you know who you are, thank you!
#CDSM2025
#CDSM2025
youtu.be/qHhsc4lYamc?...
youtu.be/qHhsc4lYamc?...